{"id":13,"date":"2019-02-04T03:26:37","date_gmt":"2019-02-04T03:26:37","guid":{"rendered":"http:\/\/marconi.sdsu.edu\/?page_id=13"},"modified":"2025-11-26T14:46:17","modified_gmt":"2025-11-26T22:46:17","slug":"graduate-students","status":"publish","type":"page","link":"https:\/\/iotlab.sdsu.edu\/index.php\/graduate-students\/","title":{"rendered":"Students"},"content":{"rendered":"\n
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Shounak Ray Chaudhuri
<\/strong>Research Collaborator
<\/em>Research area: Applications of AI in Traffic Engineering and Safety<\/p>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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Vignesh Kumar Rajavelu
<\/strong>Remote Research Collaborator
<\/em>Research area: Fibrous protein structure prediction<\/p>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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Ushasri Badinidi
<\/strong>M.S. Computer <\/em>Engineering Candidate
<\/em>Research area: Agroinformatics IoT device design and fabrication.<\/p>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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Jiya Santosh Rathi
<\/strong>M.S. Computer <\/em>Engineering Candidate
<\/em>Research area: Physics-informed neural networks (PINNs) for modeling fusion plasma magnetohydrodynamics.<\/p>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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Janani P. Srinivasan
<\/strong>M.S. Computer <\/em>Engineering Candidate
<\/em>Research area: Design and fabrication of hierarchical MLP ASIC for classification problems.<\/p>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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Somayeh Komeylian
<\/strong>Ph.D Electrical Engineering Candidate
<\/em>Research area: THz regime metasurfaces for 6G communication<\/p>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

S. Komeylian<\/strong> and C. Paolini, “Modeling of the Fault Detection Problem for a 3D Hybrid Antenna Array: Analysis and Evaluation,” in IEEE Open Journal of Antennas and Propagation, doi: 10.1109\/OJAP.2024.3378116<\/a>.<\/p>\n\n\n\n

S. Komeylian<\/strong> and C. Paolini, “Performance Evaluation of a Fractal Plasmonic Bowtie Nano-Antenna: Optical and Far-field Properties,” in IEEE Transactions on Nanotechnology, doi: 10.1109\/TNANO.2023.3332555<\/a>.<\/p>\n\n\n\n

Komeylian, S.<\/strong>; Paolini, C. Implementation of the Digital QS-SVM-Based Beamformer on an FPGA Platform. Sensors 2023, 23, 1742. https:\/\/doi.org\/10.3390\/s23031742<\/a><\/p>\n\n\n\n

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Rene Orellana
<\/strong>M.S. Electrical Engineering Candidate (graduated spring 2024)<\/em><\/em><\/em>
<\/em>EE798 project topic: <\/p>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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Naga Dheeraj Kurapati
<\/strong>M.S. Electrical Engineering Candidate (graduated fall 2024)<\/em><\/em><\/em>
<\/em>EE798 project topic: Roadway image segmentation for calculating Post Encroachment Time<\/em><\/p>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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Soumya Konery Satheeshkumar
<\/strong>M.S. Electrical Engineering Candidate (graduated fall 2023)<\/em><\/em><\/em>
<\/em>Thesis topic: Detection of heat stress in plants using machine learning regression models<\/em><\/p>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

S. K. Satheeshkumar<\/strong>, C. Paolini and M. Sarkar, “Subsurface Heat stress detection in plants using machine learning regression models,” 2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS), Valencia, Spain, 2023, pp. 57-64, doi: 10.1109\/ICCNS58795.2023.10193174.<\/p>\n\n\n\n

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James Bunnell
<\/strong>M.S. Computer Engineering Graduate<\/em> (graduated fall 2025)<\/em><\/em><\/em>
<\/em>Thesis title: Machine Learning for Material Discovery: Interactions between 2D and 3D Materials for Novel Semiconductor Devices<\/em><\/p>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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Deeksha Kondi Udayashankar<\/strong>
M.S. Electrical Engineering Graduate<\/em> (graduated summer 2023)<\/em><\/em>
<\/em>Thesis topic: Sampling Acceleration and Orientation using SPI between the iCE40UP FPGA and the LSM6DSOX IMU for in situ Fall Detection and Classification<\/em> <\/p>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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Jingxiao Tian<\/strong>
PhD Electrical Engineering Graduate<\/em> (graduated fall 2025)<\/em><\/em><\/em><\/em><\/em>
Dissertation title: Ultra low-power, wearable, accelerated shallow-learning fall detection for elderly at-risk persons
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Jingxiao Tian<\/strong>, Patrick Mercier, Christopher Paolini, Ultra low-power, wearable, accelerated shallow-learning fall detection for elderly at-risk persons, Smart Health, Volume 33, 2024, 100498, ISSN 2352-6483, https:\/\/doi.org\/10.1016\/j.smhl.2024.100498<\/a>.
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Tian, J.<\/strong>, Mercier, P., and Paolini, C., Fall Detection through Inferencing at the Edge, International Symposium on Intelligent Computing and Networking 2024 (ISICN 2024), March 18-20, 2024, Puerto Rico.<\/p>\n\n\n\n

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Shreyas Narasimhiah Ramesh
<\/strong>M.S. Electrical Engineering <\/em>Graduate (graduated spring 2024)<\/em><\/em><\/em><\/em>
Research focus: Embedded Anchor-to-Joint (A2J) Pose Estimation from Depth Images on the Xilinx Kria KV260 Vision AI board
<\/em>Lab hours: Monday – Friday, 11:00AM to 4:00PM<\/p>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

S. N. Ramesh<\/strong>, M. Sarkar, M. Audette and C. Paolini, “Efficient Real-time Fall Prediction and Detection using Privacy-Centric Vision-based Human Pose Estimation on the Xilinx\u00ae Kria K26 SOM,” 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), Toronto, ON, Canada, 2023, pp. 1-5, doi: 10.1109\/BioCAS58349.2023.10388590.<\/p>\n\n\n\n

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Priyanka Partane<\/strong>
M.S. Electrical Engineering Graduate<\/em> (graduated spring 2022)<\/em><\/em>
EE798 project topic: Line-speed Packet Capture and Feature Extraction for Training Asymmetric Stacked Autoencoders for Network Anomaly Detection
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Vineet Kandunuri<\/strong>
M.S. Electrical Engineering Candidate
<\/em>Thesis topic: MIST: A Machine Intelligent Sensor Topology Fog Computing Architecture to Mitigate the Propagation of Cascading Power Outages<\/em><\/p>\n<\/div><\/div>\n\n\n\n